Machine Learning Engineer- 2

As an ML Engineer in the team, you will work closely with Data Science, Engineering, Platform, Product and Operations teams to build state-of- the-art ML based solutions for B2B SaaS products. This will entail applying advanced ML algorithms at scale for core products and developing robust end to end production pipelines which includes Human-in-the-Loop component to boost the quality.

The ideal candidate will have a strong background in machine learning model development, deploying large scale, high throughput machine learning pipelines to production, experience with developing and managing frameworks for machine learning platforms, which they can utilise to manage and improve our company’s AI / ML initiatives.

• Contribute to development of multiple AI driven end to end pipelines that allows for deployment and scalability of machine learning models
• Build an end-to-end machine learning platform, covering all lifecycle stages of a model, to ease model development and deployment
• Build tools and capabilities that help with data ingestion to feature engineering, data management and organisation
• Deploy cutting edge algorithms like LLMs etc. on GPUs along with distributed computing for scalability
• Contribute to tools and capabilities for model management and model performance monitoring
• Implement the best engineering practices for scaling ML-powered features, with a goal to enable the fast iteration of and efficient experimentation with novel features
• Champion and own the ML infrastructure roadmap, in collaboration with Data Science and other platform teams

What we are looking for -

Why you will love to work with us -

We have multiple brands, which are among the biggest brands operating on Amazon, as our customers. You will be responsible for working with their data and developing models and algorithms to drive lift in tune of hundreds of thousands of dollars.